# Cluster 5

Predicates: annoy, upset, irk, rile, spook, infuriate, enrage, intimidate, frustrate, mispronounce, repel, crush, fool, irritate, frighten, trouble, unnerve, cock, block, offend, stir, embarrass
Subjects (sim = 0.3470): fact, so, thing
Objects (sim = 0.6023): hundred, people

# Cluster 14

Predicates: plummet, grow, swell, flood, surpass, outstrip, skyrocket, explode, exceed, fluctuate, decline, soar, rise, dwindle
Subjects (sim = 0.4487): price, temperature, supply
Objects (sim = 0.6483): most, more, less, so, much, little

# Cluster 29

Predicates: escort, border, apprehend, arrest, locate, abduct, detain, bust, harass, nab
Subjects (sim = 0.6043): police, officer, guard
Objects (sim = 0.4347): hundred, people

# Cluster 30

Predicates: contradict, depend, separate, distinguish, vary, change, bend, fluctuate, dictate, differ
Subjects (sim = 0.4376): result, proof
Objects (sim = 0.5555): most, more, less, so, much, little

# Cluster 28

Predicates: captivate, annoy, exude, immerse, excite, infuriate, astonish, illuminate, delight, fascinate
Subjects (sim = 0.5598): light, glow, flash
Objects (sim = 0.3403): audience, public, everyone, crowd, community, people

# Cluster 33

Predicates: poison, irritate, smack, eat, inhale, suck, smell, emit, breathe, rub
Subjects (sim = 0.4044): about, people, thousand
Objects (sim = 0.3902): poison, smoke, scent, smell

# Cluster 13

Predicates: chirp, flicker, sound, torch, smell, shine, cast, glint, gaze, light, emit, glow, illuminate, flash
Subjects (sim = 0.6321): light, glow, flash
Objects (sim = 0.4655): eye, with, horizon, face, shadow, light

# Cluster 15

Predicates: envy, loathe, dislike, resent, sacrifice, despise, deride, exalt, criticize, laud, adore, hate, revere, mourn
Subjects (sim = 0.5089): about, people, thousand
Objects (sim = 0.4010): other, present

# Cluster 23

Predicates: sweep, play, fit, upset, club, match, beat, clash, snatch, stun, coach
Subjects (sim = 0.5023): man, player
Objects (sim = 0.3171): role, lead

# Cluster 32

Predicates: love, appreciate, exude, resent, admire, enjoy, sacrifice, adore, comfort, care
Subjects (sim = 0.4498): about, people, thousand
Objects (sim = 0.3883): other, present

# Cluster 26

Predicates: head, stab, hatch, bend, bludgeon, stick, cock, paddle, hand, whip, impale
Subjects (sim = 0.4039): man, player
Objects (sim = 0.3341): committee, agency, organization, group

# Cluster 22

Predicates: help, give, volunteer, provide, chair, contribute, assist, donate, serve, aid, support
Subjects (sim = 0.4675): audience, public, everyone, community, people, population
Objects (sim = 0.5257): revenue, money, fund, dollar

# Cluster 37

Predicates: entertain, impress, disappoint, surprise, soothe, satisfy, attract, excite, wow
Subjects (sim = 0.2778): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4849): hundred, people

# Cluster 34

Predicates: plead, murder, rape, torture, attack, abduct, kidnap, stun, slaughter
Subjects (sim = 0.5426): soldier, man
Objects (sim = 0.5272): hundred, people

# Cluster 4

Predicates: annoy, humiliate, disparage, mutilate, belittle, harass, kill, injure, impale, intimidate, misappropriate, mispronounce, confuse, fool, disturb, behead, frighten, mock, stigmatize, kidnap, offend, berate, embarrass, deceive
Subjects (sim = 0.3999): about, people, thousand
Objects (sim = 0.4678): hundred, people

# Cluster 3

Predicates: accuse, beg, condemn, despise, deride, plead, exalt, act, punish, rank, berate, disparage, contradict, belittle, denounce, chastise, criticize, laud, swipe, blame, mock, cite, decry, bash, mourn, stereotype, embarrass
Subjects (sim = 0.4116): about, people, thousand
Objects (sim = 0.3406): reform, conservative, law, government, policy

# Cluster 9

Predicates: drop, plummet, cross, dip, climb, hit, fall, slide, spot, decline, soar, tumble, drag, rise, jump
Subjects (sim = 0.4521): price, temperature, supply
Objects (sim = 0.6331): most, more, less, so, much, little

# Cluster 11

Predicates: drop, cut, lower, eliminate, increase, decrease, lack, gain, measure, rate, skyrocket, raise, decline, survey, rise
Subjects (sim = 0.4655): price, temperature, supply
Objects (sim = 0.6447): most, more, less, so, much, little

# Cluster 20

Predicates: congratulate, criticize, appreciate, laud, admire, thank, compliment, commend, recognize, support, applaud, praise
Subjects (sim = 0.5039): about, people, thousand
Objects (sim = 0.3575): art, music, artist, television, film, wine, guitar

# Cluster 41

Predicates: confirm, contradict, reveal, reinforce, show, indicate, suggest, demonstrate
Subjects (sim = 0.5641): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6685): evidence, resistance

# Cluster 31

Predicates: lay, work, go, eat, come, sing, do, stand, walk, sit
Subjects (sim = 0.3593): about, people, thousand
Objects (sim = 0.3667): everybody, be, anybody, none, good, ourselves, Nothing, anything, either, tear, course, hard, NOTHING, nobody, everything, so, goodness, all, figure, homework, everyone, nothing, people, worse, way, ANYTHING, anyone, know, thing, much, little

# Cluster 8

Predicates: weigh, explore, identify, separate, examine, formulate, monitor, investigate, look, observe, file, pursue, assess, advise, inspect, consider, demonstrate, evaluate, scour
Subjects (sim = 0.4168): police, hospital
Objects (sim = 0.3890): performance, progress

# Cluster 38

Predicates: calm, keep, start, go, stick, come, place, live, stay
Subjects (sim = 0.4800): about, people, thousand
Objects (sim = 0.5953): back, home

# Cluster 42

Predicates: pull, burn, strip, dig, tear, rip, dump, suck
Subjects (sim = 0.4885): about, people, thousand
Objects (sim = 0.5052): hundred, people

# Cluster 10

Predicates: include, request, submit, apply, urge, seek, notify, cover, discontinue, file, provide, approve, ask, consider, write
Subjects (sim = 0.3710): leader, winner
Objects (sim = 0.3734): hundred, people

# Cluster 24

Predicates: intimidate, strip, stab, rob, ransack, steal, abduct, destroy, block, kidnap, kill
Subjects (sim = 0.2983): about, people, thousand
Objects (sim = 0.4332): hundred, people

# Cluster 35

Predicates: inform, encourage, instruct, advise, assure, inspect, assist, educate, notify
Subjects (sim = 0.3590): police, hospital
Objects (sim = 0.4682): officer, official

# Cluster 46

Predicates: envy, desire, glint, inhabit, adore, astonish, delight, fascinate
Subjects (sim = 0.4550): about, people, thousand
Objects (sim = 0.2805): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 17

Predicates: precipitate, expect, see, suffer, depend, mean, anticipate, predict, say, suggest, believe, foresee
Subjects (sim = 0.2927): about, people, thousand
Objects (sim = 0.4546): hundred, people

# Cluster 18

Predicates: plead, give, fail, request, charge, desire, beg, ask, judge, attempt, seek, urge
Subjects (sim = 0.4310): audience, public, everyone, community, people, population
Objects (sim = 0.3029): hundred, people

# Cluster 36

Predicates: entertain, play, boo, engage, perform, host, sing, invite, cheer
Subjects (sim = 0.3629): about, people, thousand
Objects (sim = 0.3471): move, act, action, step

# Cluster 49

Predicates: worry, die, suffer, lose, row, hurt, struggle
Subjects (sim = 0.4336): about, people, thousand
Objects (sim = 0.2712): hundred, people

# Cluster 40

Predicates: reproduce, burn, repel, crush, mutilate, destroy, protect, kill
Subjects (sim = 0.3525): about, people, thousand
Objects (sim = 0.4324): hundred, people

# Cluster 7

Predicates: classify, spell, treat, address, separate, identify, distinguish, understand, detect, recognize, reproduce, discern, measure, assess, solve, define, predict, pronounce, describe, perceive, evaluate, categorize
Subjects (sim = 0.5057): about, people, thousand
Objects (sim = 0.3699): hundred, people

# Cluster 2

Predicates: shake, knock, ransack, snatch, stun, punch, whip, head, hit, pin, beat, rip, bust, stick, blow, pan, hand, batter, break, strike, smack, blast, slam, pull, stab, kick, throw, swipe, lift, cock, rattle, slap, rub
Subjects (sim = 0.5256): soldier, man
Objects (sim = 0.3728): hundred, people

# Cluster 19

Predicates: transfer, use, buy, own, sell, raise, purchase, pay, donate, supply, value, acquire
Subjects (sim = 0.4134): about, people, thousand
Objects (sim = 0.4309): jewel, property, land, asset

# Cluster 58

Predicates: surprise, impress, irk, rile, faze, excite, unnerve
Subjects (sim = 0.2748): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.5062): hundred, people

# Cluster 27

Predicates: search, dig, locate, swarm, find, scan, survey, gather, look, scour, comb
Subjects (sim = 0.3945): about, people, thousand
Objects (sim = 0.3401): contractor, area, activity, housing, work, project, training, house, building, home, design, negotiation, property, construction, hospital, operation, facility

# Cluster 6

Predicates: add, treat, grow, use, bring, contribute, develop, devise, produce, approach, acquire, translate, concoct, induce, provide, form, build, wreak, design, create, generate, become
Subjects (sim = 0.4587): audience, public, everyone, community, people, population
Objects (sim = 0.3101): stress, treatment, disease, asthma, jaundice, cattle, Disorder, flu, autism, drug, malnutrition, kidney, disorder, genetics, arthritis, cancer, ulcer, crime

# Cluster 48

Predicates: attend, reach, reside, enter, visit, travel, advance, register
Subjects (sim = 0.4189): about, people, thousand
Objects (sim = 0.6601): back, home

# Cluster 21

Predicates: usher, pull, go, bring, come, carry, draw, gather, follow, put, push, hold
Subjects (sim = 0.4255): about, people, thousand
Objects (sim = 0.5296): hundred, people

# Cluster 59

Predicates: reproduce, form, exude, inhabit, reside, possess, emit
Subjects (sim = 0.3487): about, people, thousand
Objects (sim = 0.5033): generation, power

# Cluster 44

Predicates: torture, mutilate, behead, detain, abduct, kidnap, kill, euthanize
Subjects (sim = 0.3365): about, people, thousand
Objects (sim = 0.4807): hundred, people

# Cluster 47

Predicates: help, can, desire, loathe, want, urge, attempt, order
Subjects (sim = 0.3734): leader, winner
Objects (sim = 0.4043): hundred, people

# Cluster 50

Predicates: pursue, reinforce, formulate, develop, devise, evaluate, execute
Subjects (sim = 0.3960): about, people, thousand
Objects (sim = 0.4918): stress, treatment, disease, asthma, jaundice, cattle, Disorder, flu, autism, drug, malnutrition, kidney, disorder, genetics, arthritis, cancer, ulcer, crime

# Cluster 72

Predicates: discontinue, abandon, stop, quit, euthanize
Subjects (sim = 0.5300): about, people, thousand
Objects (sim = 0.5507): treatment, training

# Cluster 43

Predicates: cover, read, file, book, please, check, copy, write
Subjects (sim = 0.3043): police, hospital
Objects (sim = 0.3409): audience, public, everyone, crowd, community, people

# Cluster 68

Predicates: rock, chirp, pedal, sound, roll, rattle
Subjects (sim = 0.5037): trumpet, bark, sound, whistle, wind
Objects (sim = 0.6184): phone, alarm

# Cluster 54

Predicates: move, shift, change, bend, turn, approach, rush
Subjects (sim = 0.3255): price, temperature, supply
Objects (sim = 0.4093): hundred, people

# Cluster 57

Predicates: usher, induce, soothe, encourage, attract, frighten, discourage
Subjects (sim = 0.3786): about, people, thousand
Objects (sim = 0.5496): hundred, people

# Cluster 63

Predicates: belong, occupy, inhabit, reside, serve, represent
Subjects (sim = 0.5133): about, people, thousand
Objects (sim = 0.4230): village, camp

# Cluster 56

Predicates: transfer, abandon, leave, relinquish, quit, return, surrender
Subjects (sim = 0.5101): about, people, thousand
Objects (sim = 0.6249): back, home

# Cluster 77

Predicates: impress, fool, compliment, embarrass, wow
Subjects (sim = 0.2979): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.3962): mine, friend

# Cluster 62

Predicates: employ, earn, attract, raise, draw, generate
Subjects (sim = 0.3559): about, people, thousand
Objects (sim = 0.5639): hundred, people

# Cluster 67

Predicates: search, apprehend, rob, snatch, chase, nab
Subjects (sim = 0.5803): police, hospital
Objects (sim = 0.4142): database, computer

# Cluster 55

Predicates: sentence, murder, charge, arrest, judge, command, surrender
Subjects (sim = 0.4145): police, officer, guard
Objects (sim = 0.3931): hundred, people

# Cluster 76

Predicates: commence, date, discontinue, arrive, begin
Subjects (sim = 0.3079): Government, Court
Objects (sim = 0.5932): back, home

# Cluster 53

Predicates: include, mean, cite, indicate, consider, suggest, represent
Subjects (sim = 0.3618): about, people, thousand
Objects (sim = 0.6656): reason, evidence

# Cluster 39

Predicates: discover, discern, locate, identify, find, define, scan, detect, conceive
Subjects (sim = 0.4304): about, people, thousand
Objects (sim = 0.3837): problem, phenomenon, thing

# Cluster 51

Predicates: reward, charge, cost, load, pay, risk, value
Subjects (sim = 0.3996): about, people, thousand
Objects (sim = 0.4757): amount, detail, much

# Cluster 69

Predicates: employ, apply, use, possess, carry, acquire
Subjects (sim = 0.4408): most, history
Objects (sim = 0.4729): hundred, people

# Cluster 84

Predicates: calm, soothe, rile, unnerve, rattle
Subjects (sim = 0.3750): fact, so, thing
Objects (sim = 0.6328): poison, nerve

# Cluster 74

Predicates: stop, keep, discourage, avoid, protect
Subjects (sim = 0.4726): about, people, thousand
Objects (sim = 0.5406): hundred, people

# Cluster 64

Predicates: esteem, appreciate, interest, regard, despise, respect
Subjects (sim = 0.4411): about, people, thousand
Objects (sim = 0.4671): other, present

# Cluster 78

Predicates: burn, flicker, explode, pan, flash
Subjects (sim = 0.4425): volume, light, traffic
Objects (sim = 0.6717): himself, briefly

# Cluster 12

Predicates: play, move, sail, pass, go, run, rush, ride, lead, push, stay, fly, drive, walk
Subjects (sim = 0.3175): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.3476): hundred, people

# Cluster 60

Predicates: set, throw, lay, roll, rip, push, put
Subjects (sim = 0.3849): about, people, thousand
Objects (sim = 0.6211): hundred, people

# Cluster 73

Predicates: climb, lift, drag, push, jump
Subjects (sim = 0.4258): sale, cost, productivity, price, currency, value, demand, speed, consumer, buyer
Objects (sim = 0.4947): most, more, less, so, much, little

# Cluster 98

Predicates: school, kid, coach, tutor
Subjects (sim = 0.4350): schoolteacher, teacher, schoolmaster, nurse, language, employee, tutor
Objects (sim = 0.6345): student, participant

# Cluster 85

Predicates: concoct, reproduce, invent, conceive, devise
Subjects (sim = 0.4705): about, people, thousand
Objects (sim = 0.5119): system, experiment, scheme, plot, service, project, operation, plan

# Cluster 94

Predicates: rush, swell, flow, flood
Subjects (sim = 0.4631): number, record, attendance
Objects (sim = 0.5165): back, home

# Cluster 71

Predicates: meet, fulfill, reach, exceed, track, surpass
Subjects (sim = 0.3616): area, city, road, land, River, river, water, boat
Objects (sim = 0.4575): yacht, sea, Sea

# Cluster 82

Predicates: waste, cost, emit, generate, produce
Subjects (sim = 0.3313): man, player
Objects (sim = 0.4498): amount, detail, much

# Cluster 65

Predicates: feed, die, kill, euthanize, surrender, slaughter
Subjects (sim = 0.3340): about, people, thousand
Objects (sim = 0.4626): hundred, people

# Cluster 91

Predicates: add, build, replace, destroy, eliminate
Subjects (sim = 0.4085): about, people, thousand
Objects (sim = 0.3566): hundred, people

# Cluster 101

Predicates: inhabit, reside, live, stay
Subjects (sim = 0.4694): about, people, thousand
Objects (sim = 0.5378): area, country, forest, capital, town, slum, city, housing, wife, church, City, community, house, home, ghost, council, street, property, farm, land, state, family, village, resident

# Cluster 93

Predicates: encounter, chase, fight, struggle
Subjects (sim = 0.4546): about, people, thousand
Objects (sim = 0.5823): problem, phenomenon, thing

# Cluster 92

Predicates: poison, scare, frighten, unnerve, fear
Subjects (sim = 0.4609): about, people, thousand
Objects (sim = 0.4084): hundred, people

# Cluster 66

Predicates: encourage, beg, want, please, invite, urge
Subjects (sim = 0.2888): leader, winner
Objects (sim = 0.4900): hundred, people

# Cluster 106

Predicates: rock, club, bash, rave
Subjects (sim = 0.4302): soldier, man
Objects (sim = 0.4855): handbag, woman

# Cluster 102

Predicates: die, explode, suck, injure
Subjects (sim = 0.4129): man, player
Objects (sim = 0.3260): himself, briefly

# Cluster 95

Predicates: fit, meet, fulfill, satisfy
Subjects (sim = 0.3592): area, city, road, land, River, river, water, boat
Objects (sim = 0.6343): yacht, sea, Sea

# Cluster 100

Predicates: inform, immerse, teach, educate
Subjects (sim = 0.4333): student, body
Objects (sim = 0.5502): student, participant

# Cluster 75

Predicates: play, kick, pass, throw, cross
Subjects (sim = 0.3967): man, player
Objects (sim = 0.4040): all, out

# Cluster 90

Predicates: escort, volunteer, attend, work, tutor
Subjects (sim = 0.4085): police, officer, guard
Objects (sim = 0.4717): with, way

# Cluster 103

Predicates: trust, sacrifice, discipline, respect
Subjects (sim = 0.4464): about, people, thousand
Objects (sim = 0.5009): other, present

# Cluster 99

Predicates: fly, leave, go, stay
Subjects (sim = 0.5100): about, people, thousand
Objects (sim = 0.3935): revenue, money, fund, dollar

# Cluster 105

Predicates: spell, clash, match, encounter
Subjects (sim = 0.4429): about, people, thousand
Objects (sim = 0.6422): problem, phenomenon, thing

# Cluster 61

Predicates: give, take, squander, relinquish, come, surrender, hold
Subjects (sim = 0.4840): audience, public, everyone, community, people, population
Objects (sim = 0.3713): Money, money, charity, fund, donation, grant, cash, support

# Cluster 80

Predicates: mean, cause, risk, caution, fear
Subjects (sim = 0.3497): event, attendance
Objects (sim = 0.4840): death, body

# Cluster 87

Predicates: attack, shock, scare, blow, blast
Subjects (sim = 0.3940): about, people, thousand
Objects (sim = 0.4911): hundred, people

# Cluster 88

Predicates: commence, act, conduct, engage, perform
Subjects (sim = 0.3221): about, people, thousand
Objects (sim = 0.4237): activity, action

# Cluster 108

Predicates: waste, burn, discharge, dump
Subjects (sim = 0.4160): soldier, man
Objects (sim = 0.4656): Life, life

# Cluster 96

Predicates: demonstrate, recognize, perceive, represent
Subjects (sim = 0.4940): about, people, thousand
Objects (sim = 0.4120): problem, phenomenon, thing

# Cluster 52

Predicates: frustrate, repel, force, bludgeon, stun, kill, lead
Subjects (sim = 0.2638): about, people, thousand
Objects (sim = 0.4482): hundred, people

# Cluster 45

Predicates: reveal, inform, identify, locate, tell, contact, notify, notice
Subjects (sim = 0.3814): about, people, thousand
Objects (sim = 0.5150): officer, official

# Cluster 81

Predicates: accuse, note, cite, say, describe
Subjects (sim = 0.3396): about, people, thousand
Objects (sim = 0.3302): reason, evidence

# Cluster 109

Predicates: strip, abandon, destroy, dump
Subjects (sim = 0.4124): about, people, thousand
Objects (sim = 0.3263): all, out

# Cluster 97

Predicates: call, contact, visit, register
Subjects (sim = 0.5181): about, people, thousand
Objects (sim = 0.4293): hundred, people

# Cluster 104

Predicates: occupy, leave, replace, empty
Subjects (sim = 0.5227): about, people, thousand
Objects (sim = 0.3725): revenue, money, fund, dollar

# Cluster 117

Predicates: apply, vary, exceed, differ
Subjects (sim = 0.5216): result, proof
Objects (sim = 0.5155): most, more, less, so, much, little

# Cluster 79

Predicates: occupy, relinquish, rank, lead, command
Subjects (sim = 0.4009): principal, boss, commander, chief, officer, chairman, president
Objects (sim = 0.4119): army, slum

# Cluster 119

Predicates: squander, lose, relinquish, quit
Subjects (sim = 0.5333): about, people, thousand
Objects (sim = 0.4082): revenue, money, fund, dollar

# Cluster 107

Predicates: address, meet, attend, speak
Subjects (sim = 0.4183): about, people, thousand
Objects (sim = 0.5056): yacht, sea, Sea

# Cluster 110

Predicates: love, desire, interest, dislike
Subjects (sim = 0.4298): about, people, thousand
Objects (sim = 0.3705): anyone, person, guy

# Cluster 115

Predicates: shame, shock, hate, fear
Subjects (sim = 0.4879): about, people, thousand
Objects (sim = 0.3444): other, present

# Cluster 118

Predicates: view, gaze, look, approach
Subjects (sim = 0.5006): about, people, thousand
Objects (sim = 0.3875): other, present

# Cluster 111

Predicates: school, track, ride, train
Subjects (sim = 0.3028): expert, protection
Objects (sim = 0.4703): checkpoint, bus, van, railroad, bicycle, boat, bike, vehicle, guitar, driver, car, road, street, traffic

# Cluster 112

Predicates: misappropriate, embezzle, squander, steal
Subjects (sim = 0.3193): detective, police, thief, robber, dealer, crime, traffic
Objects (sim = 0.4646): revenue, money, fund, dollar

# Cluster 120

Predicates: explode, rip, rattle, impale
Subjects (sim = 0.4239): about, people, thousand
Objects (sim = 0.5824): hundred, people

# Cluster 129

Predicates: disappoint, boo, rile, cheer
Subjects (sim = 0.4359): about, people, thousand
Objects (sim = 0.5312): other, present

# Cluster 121

Predicates: note, regard, consider, caution
Subjects (sim = 0.4973): about, people, thousand
Objects (sim = 0.3647): change, alteration

# Cluster 16

Predicates: give, be, reach, bring, go, come, turn, translate, find, get, create, make, become
Subjects (sim = 0.4732): about, people, thousand
Objects (sim = 0.6193): back, home

# Cluster 126

Predicates: stop, start, end, begin
Subjects (sim = 0.4382): about, people, thousand
Objects (sim = 0.3936): watch, work, show, know, so

# Cluster 89

Predicates: use, design, own, invent, write
Subjects (sim = 0.3495): family, dinner, house
Objects (sim = 0.5024): jewel, property, land, asset

# Cluster 83

Predicates: precipitate, suffer, wreak, blame, cause
Subjects (sim = 0.3036): about, people, thousand
Objects (sim = 0.3230): damage, crisis, misfortune, starvation, calamity, tragedy, attack, havoc, catastrophe, mishap, situation, destruction, violence

# Cluster 131

Predicates: usher, precipitate, induce, avoid
Subjects (sim = 0.4081): animal, drug
Objects (sim = 0.5151): change, alteration

# Cluster 116

Predicates: suffer, resent, stereotype, perceive
Subjects (sim = 0.4749): about, people, thousand
Objects (sim = 0.4729): other, present

# Cluster 136

Predicates: torture, poison, frighten, bludgeon
Subjects (sim = 0.6268): man, player
Objects (sim = 0.3016): himself, briefly

# Cluster 135

Predicates: feed, sell, supply, produce
Subjects (sim = 0.5096): milk, baby
Objects (sim = 0.4432): hundred, people

# Cluster 138

Predicates: fly, sail, arrive, travel
Subjects (sim = 0.3397): about, people, thousand
Objects (sim = 0.6685): back, home

# Cluster 137

Predicates: boo, swarm, throng, rush
Subjects (sim = 0.6078): police, hospital
Objects (sim = 0.4418): street, house

# Cluster 140

Predicates: shame, humiliate, punish, slap
Subjects (sim = 0.5033): soldier, man
Objects (sim = 0.4359): teacher, girl, pupil, child

# Cluster 124

Predicates: precipitate, wreak, disturb, destroy
Subjects (sim = 0.3665): about, people, thousand
Objects (sim = 0.2310): all, out

# Cluster 132

Predicates: shift, change, increase, decrease
Subjects (sim = 0.4089): price, temperature, supply
Objects (sim = 0.6300): most, more, less, so, much, little

# Cluster 114

Predicates: study, report, survey, decrease
Subjects (sim = 0.4682): scientist, alien
Objects (sim = 0.5545): most, more, less, so, much, little

# Cluster 144

Predicates: squander, lose, dwindle, empty
Subjects (sim = 0.4966): about, people, thousand
Objects (sim = 0.4031): revenue, money, fund, dollar

# Cluster 146

Predicates: feed, die, eat, suck
Subjects (sim = 0.3899): milk, baby
Objects (sim = 0.5092): hundred, people

# Cluster 147

Predicates: shake, stir, rattle, whip
Subjects (sim = 0.4508): fact, so, thing
Objects (sim = 0.4656): hundred, people

# Cluster 113

Predicates: accuse, stop, trouble, condemn
Subjects (sim = 0.3794): about, people, thousand
Objects (sim = 0.4050): government, machinery

# Cluster 151

Predicates: chirp, sound, sing, hear
Subjects (sim = 0.6925): voice, music, trumpet, sound
Objects (sim = 0.5612): phone, alarm

# Cluster 130

Predicates: weigh, take, bear, carry
Subjects (sim = 0.4755): about, people, thousand
Objects (sim = 0.3936): other, present

# Cluster 123

Predicates: assure, commend, condemn, urge
Subjects (sim = 0.4764): leader, winner
Objects (sim = 0.3142): hundred, people

# Cluster 141

Predicates: laud, rave, hail, praise
Subjects (sim = 0.4061): about, people, thousand
Objects (sim = 0.4671): plot, film

# Cluster 133

Predicates: escort, arrive, torch, train
Subjects (sim = 0.3840): expert, protection
Objects (sim = 0.5194): back, home

# Cluster 156

Predicates: pursue, abandon, fulfill
Subjects (sim = 0.4715): about, people, thousand
Objects (sim = 0.3654): treatment, training

# Cluster 143

Predicates: surprise, shock, delight, comfort
Subjects (sim = 0.2618): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4582): anyone, stranger

# Cluster 122

Predicates: arrive, leave, enter, return
Subjects (sim = 0.4687): about, people, thousand
Objects (sim = 0.7030): back, home

# Cluster 149

Predicates: fit, govern, define, dictate
Subjects (sim = 0.3232): about, people, thousand
Objects (sim = 0.5425): hundred, people

# Cluster 70

Predicates: give, see, get, earn, enjoy, gain
Subjects (sim = 0.4651): audience, public, everyone, community, people, population
Objects (sim = 0.3601): back, home

# Cluster 166

Predicates: school, club, board
Subjects (sim = 0.3877): about, people, thousand
Objects (sim = 0.4811): bus, ticket

# Cluster 86

Predicates: take, start, run, track, chase
Subjects (sim = 0.3040): government, minister, Government, authority, Minister
Objects (sim = 0.4822): experiment, show

# Cluster 125

Predicates: note, book, report, cite
Subjects (sim = 0.3364): about, people, thousand
Objects (sim = 0.5609): reason, evidence

# Cluster 167

Predicates: captivate, gaze, throng
Subjects (sim = 0.4204): eye, up
Objects (sim = 0.4590): deep, back

# Cluster 158

Predicates: plead, judge, stand
Subjects (sim = 0.4654): about, people, thousand
Objects (sim = 0.3778): other, present

# Cluster 159

Predicates: knock, fight, punch
Subjects (sim = 0.6298): man, player
Objects (sim = 0.3300): cold, hard

# Cluster 127

Predicates: discover, explore, learn, invent
Subjects (sim = 0.4220): about, people, thousand
Objects (sim = 0.4900): truth, phrase, word, thing, example

# Cluster 157

Predicates: stab, swipe, approach
Subjects (sim = 0.6312): soldier, man
Objects (sim = 0.4897): back, home

# Cluster 160

Predicates: fulfill, serve, become
Subjects (sim = 0.4133): about, people, thousand
Objects (sim = 0.4891): organization, president

# Cluster 169

Predicates: smack, mock, sit
Subjects (sim = 0.4332): man, player
Objects (sim = 0.4187): seat, ticket

# Cluster 134

Predicates: request, approve, purchase, board
Subjects (sim = 0.3530): about, people, thousand
Objects (sim = 0.2446): deal, share

# Cluster 171

Predicates: date, be, end
Subjects (sim = 0.4229): door, woman, vet, mum, boyfriend, wife, father, husband, body, neighbor, house, life, mother, himself, caller, marriage, friend, man, family, twin, resident
Objects (sim = 0.4139): woman, student, animal, man, adult, female, girl, male

# Cluster 172

Predicates: load, handle, carry
Subjects (sim = 0.4669): about, people, thousand
Objects (sim = 0.4110): body, arm

# Cluster 139

Predicates: report, check, notify, register
Subjects (sim = 0.5713): police, hospital
Objects (sim = 0.6471): officer, official

# Cluster 142

Predicates: irritate, cause, hurt, injure
Subjects (sim = 0.3385): man, player
Objects (sim = 0.3601): distress, damage

# Cluster 165

Predicates: distinguish, govern, protect
Subjects (sim = 0.6684): protection, Protection, safeguard
Objects (sim = 0.5157): hundred, people

# Cluster 25

Predicates: discover, see, learn, find, work, tell, teach, understand, know, check, hear
Subjects (sim = 0.4503): about, people, thousand
Objects (sim = 0.4206): hundred, people

# Cluster 154

Predicates: head, wound, stab
Subjects (sim = 0.4774): soldier, man
Objects (sim = 0.3836): committee, agency, organization, group

# Cluster 164

Predicates: trust, esteem, value
Subjects (sim = 0.4827): about, people, thousand
Objects (sim = 0.4657): education, aid

# Cluster 163

Predicates: discourage, risk, protect
Subjects (sim = 0.4681): protection, Protection, safeguard
Objects (sim = 0.3704): hundred, people

# Cluster 150

Predicates: study, address, assess, examine
Subjects (sim = 0.5790): student, body
Objects (sim = 0.6083): performance, progress

# Cluster 175

Predicates: solve, create, eliminate
Subjects (sim = 0.2046): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4867): hundred, people

# Cluster 161

Predicates: interest, support, respect
Subjects (sim = 0.3634): about, people, thousand
Objects (sim = 0.4897): other, present

# Cluster 173

Predicates: chair, board, hold
Subjects (sim = 0.4074): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.4336): committee, Government, council, House, Team, Committee, Council, Court

# Cluster 168

Predicates: climb, chase, ride
Subjects (sim = 0.3043): about, people, thousand
Objects (sim = 0.4718): checkpoint, bus, van, railroad, bicycle, boat, bike, vehicle, guitar, driver, car, road, street, traffic

# Cluster 180

Predicates: mispronounce, speak, pronounce
Subjects (sim = 0.3982): about, people, thousand
Objects (sim = 0.6182): pound, little

# Cluster 182

Predicates: slam, bludgeon, bash
Subjects (sim = 0.5412): critic, piece
Objects (sim = 0.4323): handbag, woman

# Cluster 162

Predicates: mean, faze, hurt
Subjects (sim = 0.3964): soldier, man
Objects (sim = 0.3703): hundred, people

# Cluster 145

Predicates: cost, rate, mean, risk
Subjects (sim = 0.2973): about, people, thousand
Objects (sim = 0.4503): death, body

# Cluster 128

Predicates: wound, keep, get, put
Subjects (sim = 0.4281): about, people, thousand
Objects (sim = 0.5654): back, home

# Cluster 184

Predicates: shake, break, change
Subjects (sim = 0.4580): fact, so, thing
Objects (sim = 0.3477): audience, public, everyone, crowd, community, people

# Cluster 188

Predicates: transfer, load, discharge
Subjects (sim = 0.7734): ship, company
Objects (sim = 0.4253): all, out

# Cluster 192

Predicates: immerse, inhale, breathe
Subjects (sim = 0.5346): about, people, thousand
Objects (sim = 0.4389): breath, sigh, fresh, smell

# Cluster 186

Predicates: solve, handle, foresee
Subjects (sim = 0.3314): NOBODY, anyone, EVERYBODY, er, EVERYONE
Objects (sim = 0.4537): generation, future

# Cluster 187

Predicates: sail, ride, paddle
Subjects (sim = 0.3904): about, people, thousand
Objects (sim = 0.5550): checkpoint, bus, van, railroad, bicycle, boat, bike, vehicle, guitar, driver, car, road, street, traffic

# Cluster 181

Predicates: attempt, struggle, push
Subjects (sim = 0.3717): about, people, thousand
Objects (sim = 0.6130): hundred, people

# Cluster 195

Predicates: punish, stigmatize, discourage
Subjects (sim = 0.3087): society, community
Objects (sim = 0.4899): hundred, people

# Cluster 198

Predicates: discharge, supply, flow
Subjects (sim = 0.8022): ship, company
Objects (sim = 0.5005): water, energy

# Cluster 189

Predicates: spot, place, row
Subjects (sim = 0.3629): about, people, thousand
Objects (sim = 0.5140): problem, phenomenon, thing

# Cluster 178

Predicates: volunteer, donate, aid
Subjects (sim = 0.4659): about, people, thousand
Objects (sim = 0.6780): revenue, money, fund, dollar

# Cluster 152

Predicates: treat, act, recognize
Subjects (sim = 0.4827): about, people, thousand
Objects (sim = 0.3502): problem, phenomenon, thing

# Cluster 153

Predicates: set, dictate, follow
Subjects (sim = 0.3534): ticket, book
Objects (sim = 0.4841): activity, trend, pattern, example

# Cluster 203

Predicates: wound, pin, rub
Subjects (sim = 0.6164): man, player
Objects (sim = 0.3463): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 177

Predicates: spell, mean, rule
Subjects (sim = 0.3534): reform, law, government, Government, regime, unemployment, currency, policy
Objects (sim = 0.4706): hundred, people

# Cluster 148

Predicates: give, provide, serve, seek
Subjects (sim = 0.4727): audience, public, everyone, community, people, population
Objects (sim = 0.5041): Money, money, charity, fund, donation, grant, cash, support

# Cluster 196

Predicates: detect, emit, smell
Subjects (sim = 0.3796): scientist, alien
Objects (sim = 0.4620): change, alteration

# Cluster 174

Predicates: match, encounter, draw
Subjects (sim = 0.4595): about, people, thousand
Objects (sim = 0.4653): problem, phenomenon, thing

# Cluster 170

Predicates: treat, educate, evaluate
Subjects (sim = 0.4381): student, body
Objects (sim = 0.4601): hundred, people

# Cluster 190

Predicates: occupy, spot, rank
Subjects (sim = 0.4950): about, people, thousand
Objects (sim = 0.4100): problem, phenomenon, thing

# Cluster 199

Predicates: border, travel, train
Subjects (sim = 0.4560): expert, protection
Objects (sim = 0.4118): management, service, staff, personnel, department, employee

# Cluster 209

Predicates: upset, shock, stun
Subjects (sim = 0.2299): fact, so, thing
Objects (sim = 0.6016): hundred, people

# Cluster 179

Predicates: request, notice, order
Subjects (sim = 0.4090): about, people, thousand
Objects (sim = 0.4498): change, alteration

# Cluster 208

Predicates: reward, apprehend, punish
Subjects (sim = 0.5433): police, officer, guard
Objects (sim = 0.3737): woman, arrest, thief, politician, prisoner, suspect, abuser, boy, people, survivor, scene, doctor, candidate, guilty, soldier, person, offender, victim, crime, man

# Cluster 176

Predicates: criticize, speak, talk
Subjects (sim = 0.4908): about, people, thousand
Objects (sim = 0.4376): pound, little

# Cluster 201

Predicates: host, place, hold
Subjects (sim = 0.4867): Festival, festival, Music, folk, film
Objects (sim = 0.6793): view, hope, belief

# Cluster 194

Predicates: tear, destroy, suck
Subjects (sim = 0.4077): about, people, thousand
Objects (sim = 0.4692): other, present

# Cluster 212

Predicates: damn, sound, wow
Subjects (sim = 0.6878): trumpet, bark, sound, whistle, wind
Objects (sim = 0.7020): phone, alarm

# Cluster 210

Predicates: wound, suck, blow
Subjects (sim = 0.4005): man, player
Objects (sim = 0.3376): four, back, time, so

# Cluster 206

Predicates: occupy, ransack, empty
Subjects (sim = 0.5144): about, people, thousand
Objects (sim = 0.6159): street, Street

# Cluster 185

Predicates: pull, turn, push
Subjects (sim = 0.3970): about, people, thousand
Objects (sim = 0.5337): hundred, people

# Cluster 193

Predicates: pull, cut, rip
Subjects (sim = 0.4923): about, people, thousand
Objects (sim = 0.5082): hundred, people

# Cluster 205

Predicates: exude, possess, lack
Subjects (sim = 0.3641): country, society, government, public, regime, state
Objects (sim = 0.6355): generation, power

# Cluster 229

Predicates: mispronounce, boo, chastise
Subjects (sim = 0.3988): speaker, guest
Objects (sim = 0.4281): other, present

# Cluster 211

Predicates: worry, scare, trouble
Subjects (sim = 0.4128): about, people, thousand
Objects (sim = 0.4348): hundred, people

# Cluster 202

Predicates: kick, start, turn
Subjects (sim = 0.5412): soldier, man
Objects (sim = 0.3235): future, key

# Cluster 227

Predicates: slide, roll, row
Subjects (sim = 0.4425): about, people, thousand
Objects (sim = 0.6238): all, out

# Cluster 155

Predicates: give, provide, bring
Subjects (sim = 0.4624): audience, public, everyone, community, people, population
Objects (sim = 0.4651): Money, money, charity, fund, donation, grant, cash, support

# Cluster 213

Predicates: impress, exude, shine
Subjects (sim = 0.2717): volume, light, traffic
Objects (sim = 0.3872): mine, friend

# Cluster 219

Predicates: arrive, come, gather
Subjects (sim = 0.3646): about, people, thousand
Objects (sim = 0.7297): back, home

# Cluster 232

Predicates: border, cross, flow
Subjects (sim = 0.3284): mouse, vet, cat, snake, animal, neighbor
Objects (sim = 0.4397): path, road, course, way

# Cluster 220

Predicates: throng, cheer, delight
Subjects (sim = 0.3665): about, people, thousand
Objects (sim = 0.4909): other, present

# Cluster 228

Predicates: school, teach, discipline
Subjects (sim = 0.4003): student, body
Objects (sim = 0.5393): student, participant

# Cluster 225

Predicates: gather, mourn, observe
Subjects (sim = 0.4193): about, people, thousand
Objects (sim = 0.4008): change, alteration

# Cluster 200

Predicates: show, host, talk
Subjects (sim = 0.4097): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6006): evidence, resistance

# Cluster 223

Predicates: attend, host, invite
Subjects (sim = 0.4173): Department, Society
Objects (sim = 0.3976): hundred, people

# Cluster 235

Predicates: pedal, chair, paddle
Subjects (sim = 0.4477): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.4892): committee, Government, council, House, Team, Committee, Council, Court

# Cluster 215

Predicates: rule, discipline, approach
Subjects (sim = 0.3155): Emperor, King, queen, king, Queen
Objects (sim = 0.4235): hundred, people

# Cluster 207

Predicates: date, notify, notice
Subjects (sim = 0.3321): about, people, thousand
Objects (sim = 0.4331): change, alteration

# Cluster 217

Predicates: feel, breathe, comfort
Subjects (sim = 0.5228): about, people, thousand
Objects (sim = 0.4083): stress, anxious

# Cluster 191

Predicates: lose, get, gain
Subjects (sim = 0.4724): about, people, thousand
Objects (sim = 0.7836): back, home

# Cluster 240

Predicates: damn, despise, suck
Subjects (sim = 0.5817): most, history
Objects (sim = 0.3481): other, present

# Cluster 230

Predicates: turn, shine, rub
Subjects (sim = 0.4358): red, white, light
Objects (sim = 0.3380): future, key

# Cluster 237

Predicates: submit, form, formulate
Subjects (sim = 0.3775): person, participant
Objects (sim = 0.5380): term, plan

# Cluster 216

Predicates: fail, lose, lack
Subjects (sim = 0.3942): about, people, thousand
Objects (sim = 0.4897): generation, power

# Cluster 218

Predicates: force, discipline, command
Subjects (sim = 0.4643): General, hospital
Objects (sim = 0.5658): army, slum

# Cluster 234

Predicates: sentence, punish, rule
Subjects (sim = 0.3076): Emperor, King, queen, king, Queen
Objects (sim = 0.4829): hundred, people

# Cluster 243

Predicates: suck, breathe, flow
Subjects (sim = 0.4647): about, people, thousand
Objects (sim = 0.4877): breath, sigh, fresh, smell

# Cluster 242

Predicates: burn, sell, dump
Subjects (sim = 0.4606): man, player
Objects (sim = 0.4479): himself, briefly

# Cluster 221

Predicates: discern, define, illuminate
Subjects (sim = 0.6763): light, glow, flash
Objects (sim = 0.4024): horizon, face, smile

# Cluster 226

Predicates: squander, steal, snatch
Subjects (sim = 0.3335): detective, police, thief, robber, dealer, crime, traffic
Objects (sim = 0.3649): revenue, money, fund, dollar

# Cluster 249

Predicates: reward, sacrifice, pay
Subjects (sim = 0.4858): patient, HIM
Objects (sim = 0.4998): payment, cash

# Cluster 253

Predicates: explore, inhabit
Subjects (sim = 0.4922): about, people, thousand
Objects (sim = 0.5689): area, country, forest, capital, town, slum, city, housing, wife, church, City, community, house, home, ghost, council, street, property, farm, land, state, family, village, resident

# Cluster 245

Predicates: slam, sweep, row
Subjects (sim = 0.5490): critic, piece
Objects (sim = 0.3452): Street, office, house, building

# Cluster 214

Predicates: reach, push, advance
Subjects (sim = 0.3239): price, temperature, supply
Objects (sim = 0.4597): hundred, people

# Cluster 238

Predicates: scan, monitor, check
Subjects (sim = 0.6302): police, hospital
Objects (sim = 0.5450): area, field

# Cluster 257

Predicates: dump, flood
Subjects (sim = 0.3904): rain, fire
Objects (sim = 0.5958): back, home

# Cluster 256

Predicates: crush, swarm
Subjects (sim = 0.6447): police, hospital
Objects (sim = 0.4835): area, field

# Cluster 197

Predicates: call, ask, please
Subjects (sim = 0.4201): about, people, thousand
Objects (sim = 0.4051): hundred, people

# Cluster 236

Predicates: cover, cut, pay
Subjects (sim = 0.4225): driver, pursuit, man
Objects (sim = 0.4368): all, out

# Cluster 224

Predicates: conduct, attend, observe
Subjects (sim = 0.3570): about, people, thousand
Objects (sim = 0.3629): genetics, research

# Cluster 246

Predicates: book, teach, tutor
Subjects (sim = 0.4376): student, body
Objects (sim = 0.5306): student, participant

# Cluster 231

Predicates: move, dump, turn
Subjects (sim = 0.3601): price, temperature, supply
Objects (sim = 0.4700): hundred, people

# Cluster 204

Predicates: steal, buy, sell
Subjects (sim = 0.3079): about, people, thousand
Objects (sim = 0.3092): jewel, property, land, asset

# Cluster 251

Predicates: provide, demonstrate, represent
Subjects (sim = 0.5729): Group, team, group
Objects (sim = 0.3413): hundred, people

# Cluster 263

Predicates: boo, adore
Subjects (sim = 0.4318): about, people, thousand
Objects (sim = 0.3599): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 262

Predicates: protect, care
Subjects (sim = 0.6957): protection, Protection, safeguard
Objects (sim = 0.4612): hundred, people

# Cluster 261

Predicates: date, set
Subjects (sim = 0.3404): door, woman, vet, mum, boyfriend, wife, father, husband, body, neighbor, house, life, mother, himself, caller, marriage, friend, man, family, twin, resident
Objects (sim = 0.6574): shop, house

# Cluster 254

Predicates: inspect, visit
Subjects (sim = 0.2931): about, people, thousand
Objects (sim = 0.6757): back, home

# Cluster 222

Predicates: move, start, return
Subjects (sim = 0.3372): price, temperature, supply
Objects (sim = 0.5854): back, home

# Cluster 273

Predicates: batter, pan
Subjects (sim = 0.5959): soldier, man
Objects (sim = 0.4331): gold, green

# Cluster 259

Predicates: note, thank
Subjects (sim = 0.4521): about, people, thousand
Objects (sim = 0.5043): change, alteration

# Cluster 183

Predicates: batter, run, walk
Subjects (sim = 0.3732): government, minister, Government, authority, Minister
Objects (sim = 0.5283): experiment, show

# Cluster 272

Predicates: break, end
Subjects (sim = 0.5353): Voting, discussion
Objects (sim = 0.5292): today, day

# Cluster 266

Predicates: sacrifice, protect
Subjects (sim = 0.8095): protection, Protection, safeguard
Objects (sim = 0.4330): hundred, people

# Cluster 271

Predicates: torch, mourn
Subjects (sim = 0.3930): replica, demonstrator
Objects (sim = 0.3446): contractor, parent, teacher, partner, person, worker, employee, participant, child

# Cluster 239

Predicates: encourage, reinforce, create
Subjects (sim = 0.3552): about, people, thousand
Objects (sim = 0.4440): hundred, people

# Cluster 278

Predicates: earn, rank
Subjects (sim = 0.5530): audience, public, everyone, community, people, population
Objects (sim = 0.3974): revenue, business, company, advertising, profit

# Cluster 281

Predicates: boo, sing
Subjects (sim = 0.3217): fan, ticket, guest, visitor, attendance
Objects (sim = 0.4373): hundred, people

# Cluster 248

Predicates: explore, engage, immerse
Subjects (sim = 0.3702): about, people, thousand
Objects (sim = 0.3571): student, participant

# Cluster 258

Predicates: sound, feel
Subjects (sim = 0.4620): about, people, thousand
Objects (sim = 0.5654): phone, alarm

# Cluster 260

Predicates: punish, strike
Subjects (sim = 0.5021): soldier, man
Objects (sim = 0.3606): teacher, girl, pupil, child

# Cluster 268

Predicates: escort, throng
Subjects (sim = 0.7322): police, officer, guard
Objects (sim = 0.3992): ticket, visitor

# Cluster 283

Predicates: irk, discourage
Subjects (sim = 0.3522): fact, so, thing
Objects (sim = 0.5976): hundred, people

# Cluster 280

Predicates: cast, throng
Subjects (sim = 0.5248): art, piece
Objects (sim = 0.5547): street, house

# Cluster 270

Predicates: satisfy, assure
Subjects (sim = 0.2078): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4110): fan, ticket

# Cluster 279

Predicates: aid, care
Subjects (sim = 0.2914): NOBODY, anyone, EVERYBODY, er, EVERYONE
Objects (sim = 0.4495): hundred, people

# Cluster 277

Predicates: anticipate, generate
Subjects (sim = 0.6479): ship, company
Objects (sim = 0.5666): risk, expense, option

# Cluster 275

Predicates: stand, shine
Subjects (sim = 0.5148): volume, light, traffic
Objects (sim = 0.4522): eye, with, horizon, face, shadow, light

# Cluster 255

Predicates: force, push
Subjects (sim = 0.3068): motivation, cause, thing
Objects (sim = 0.6230): hundred, people

# Cluster 250

Predicates: employ, instruct, serve
Subjects (sim = 0.3171): about, people, thousand
Objects (sim = 0.4595): hundred, people

# Cluster 289

Predicates: spook, bear
Subjects (sim = 0.5302): about, people, thousand
Objects (sim = 0.3404): body, arm

# Cluster 265

Predicates: enjoy, eat
Subjects (sim = 0.3945): about, people, thousand
Objects (sim = 0.3404): most, world, major, history

# Cluster 284

Predicates: slam, empty
Subjects (sim = 0.7017): critic, piece
Objects (sim = 0.5258): firm, bank, boutique, company

# Cluster 282

Predicates: scan, flash
Subjects (sim = 0.5414): volume, light, traffic
Objects (sim = 0.5188): green, light, energy

# Cluster 264

Predicates: employ, force
Subjects (sim = 0.4958): Plant, Chemical, Mine, plant
Objects (sim = 0.6020): hundred, people

# Cluster 244

Predicates: cast, show, live
Subjects (sim = 0.3276): about, people, thousand
Objects (sim = 0.5896): evidence, resistance

# Cluster 296

Predicates: date, advance
Subjects (sim = 0.4134): door, woman, vet, mum, boyfriend, wife, father, husband, body, neighbor, house, life, mother, himself, caller, marriage, friend, man, family, twin, resident
Objects (sim = 0.4841): woman, student, animal, man, adult, female, girl, male

# Cluster 269

Predicates: be, mean
Subjects (sim = 0.3583): event, attendance
Objects (sim = 0.4938): death, body

# Cluster 297

Predicates: pronounce, breathe
Subjects (sim = 0.5192): about, people, thousand
Objects (sim = 0.5350): breath, sigh, fresh, smell

# Cluster 305

Predicates: advance, gain
Subjects (sim = 0.5273): sale, release
Objects (sim = 0.3616): homework, work, assignment

# Cluster 303

Predicates: calm, caution
Subjects (sim = 0.5372): official, source
Objects (sim = 0.6223): poison, nerve

# Cluster 241

Predicates: meet, encounter, visit
Subjects (sim = 0.4460): about, people, thousand
Objects (sim = 0.4232): problem, phenomenon, thing

# Cluster 309

Predicates: weigh, depend
Subjects (sim = 0.5229): success, record
Objects (sim = 0.5030): light, traffic

# Cluster 301

Predicates: pin, punch
Subjects (sim = 0.6508): soldier, man
Objects (sim = 0.3966): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 304

Predicates: earn, pay
Subjects (sim = 0.4105): audience, public, everyone, community, people, population
Objects (sim = 0.4238): payment, cash

# Cluster 274

Predicates: head, quit
Subjects (sim = 0.4382): leader, winner
Objects (sim = 0.4167): committee, agency, organization, group

# Cluster 299

Predicates: consider, avoid
Subjects (sim = 0.5052): about, people, thousand
Objects (sim = 0.5495): hundred, people

# Cluster 292

Predicates: bash, invite
Subjects (sim = 0.4569): Department, Society
Objects (sim = 0.4272): hundred, people

# Cluster 300

Predicates: strip, comb
Subjects (sim = 0.5503): police, hospital
Objects (sim = 0.5775): area, field

# Cluster 288

Predicates: cross, enter
Subjects (sim = 0.2508): mob, kidnapper, woman, thief, sex, prisoner, snake, possessor, body, girl, boy, caller, burglar, marriage, robber, victim, rapist, crime, man, killer, pickpocket, POLICE, feminist
Objects (sim = 0.7075): back, home

# Cluster 295

Predicates: hail, represent
Subjects (sim = 0.6701): Group, team, group
Objects (sim = 0.5565): hundred, people

# Cluster 294

Predicates: fluctuate, count
Subjects (sim = 0.6832): price, temperature, supply
Objects (sim = 0.5173): most, more, less, so, much, little

# Cluster 267

Predicates: reveal, illuminate
Subjects (sim = 0.7179): light, glow, flash
Objects (sim = 0.5868): evidence, resistance

# Cluster 308

Predicates: trust, govern
Subjects (sim = 0.3721): about, people, thousand
Objects (sim = 0.4282): louder, more, less, worse, closer

# Cluster 276

Predicates: advise, urge
Subjects (sim = 0.5320): leader, winner
Objects (sim = 0.4486): hundred, people

# Cluster 314

Predicates: irk, resent
Subjects (sim = 0.3906): about, people, thousand
Objects (sim = 0.4681): other, present

# Cluster 285

Predicates: observe, notice
Subjects (sim = 0.3778): about, people, thousand
Objects (sim = 0.4761): change, alteration

# Cluster 1

Predicates: depend, tell, own, feel, do, foresee, view, appreciate, contact, talk, bear, hate, consider, write, wow, fear, worry, read, like, want, lose, count, understand, handle, rave, recognize, look, fail, know, stereotype, perceive, care, trust, love, shame, belong, be, kid, show, believe, can, see, get, assure, have, dictate, adore, speak, hear, think, say, call, damn, mean, regard, ask
Subjects (sim = 0.4830): about, people, thousand
Objects (sim = 0.4380): hundred, people

# Cluster 247

Predicates: reach, attract, bring
Subjects (sim = 0.4267): event, attendance
Objects (sim = 0.2950): hundred, people

# Cluster 307

Predicates: upset, scare
Subjects (sim = 0.3707): fact, so, thing
Objects (sim = 0.5467): hundred, people

# Cluster 318

Predicates: date, rate
Subjects (sim = 0.3665): door, woman, vet, mum, boyfriend, wife, father, husband, body, neighbor, house, life, mother, himself, caller, marriage, friend, man, family, twin, resident
Objects (sim = 0.4149): woman, student, animal, man, adult, female, girl, male

# Cluster 321

Predicates: soothe, comfort
Subjects (sim = 0.3394): servant, woman, person, possessor
Objects (sim = 0.6500): other, present

# Cluster 252

Predicates: submit, apply, follow
Subjects (sim = 0.3302): study, excavation
Objects (sim = 0.5154): activity, trend, pattern, example

# Cluster 327

Predicates: squander, berate
Subjects (sim = 0.5481): about, people, thousand
Objects (sim = 0.5300): other, present

# Cluster 319

Predicates: aid, flood
Subjects (sim = 0.4409): rain, fire
Objects (sim = 0.6663): back, home

# Cluster 313

Predicates: exceed, anticipate
Subjects (sim = 0.6409): ship, company
Objects (sim = 0.5176): risk, expense, option

# Cluster 287

Predicates: sentence, notice
Subjects (sim = 0.3806): about, people, thousand
Objects (sim = 0.4720): change, alteration

# Cluster 315

Predicates: sweep, shake
Subjects (sim = 0.4791): police, hospital
Objects (sim = 0.3331): audience, public, everyone, crowd, community, people

# Cluster 329

Predicates: dig, dip
Subjects (sim = 0.6902): price, temperature, supply
Objects (sim = 0.4606): most, more, less, so, much, little

# Cluster 328

Predicates: break, match
Subjects (sim = 0.5557): Broad, building
Objects (sim = 0.5258): term, supply

# Cluster 298

Predicates: set, meet
Subjects (sim = 0.4580): area, city, road, land, River, river, water, boat
Objects (sim = 0.5134): shop, house

# Cluster 332

Predicates: eat, walk
Subjects (sim = 0.4967): plant, farmer
Objects (sim = 0.4706): hundred, people

# Cluster 336

Predicates: sail, torch
Subjects (sim = 0.3782): replica, demonstrator
Objects (sim = 0.6473): telescope, boat

# Cluster 310

Predicates: rule, order
Subjects (sim = 0.4240): leader, winner
Objects (sim = 0.4844): hundred, people

# Cluster 286

Predicates: work, design
Subjects (sim = 0.4116): about, people, thousand
Objects (sim = 0.3918): with, way

# Cluster 291

Predicates: copy, notice
Subjects (sim = 0.3715): about, people, thousand
Objects (sim = 0.4589): change, alteration

# Cluster 326

Predicates: fulfill, govern
Subjects (sim = 0.4754): bishop, mayor, sultan, governor
Objects (sim = 0.4412): hundred, people

# Cluster 311

Predicates: spot, shine
Subjects (sim = 0.2768): about, people, thousand
Objects (sim = 0.4845): problem, phenomenon, thing

# Cluster 325

Predicates: inform, fulfill
Subjects (sim = 0.4570): police, hospital
Objects (sim = 0.8005): officer, official

# Cluster 339

Predicates: dip, pan
Subjects (sim = 0.6902): price, temperature, supply
Objects (sim = 0.4606): most, more, less, so, much, little

# Cluster 306

Predicates: drop, dump
Subjects (sim = 0.4819): price, rating
Objects (sim = 0.5988): most, more, less, so, much, little

# Cluster 337

Predicates: govern, handle
Subjects (sim = 0.4811): bishop, mayor, sultan, governor
Objects (sim = 0.5470): hundred, people

# Cluster 345

Predicates: add, pan
Subjects (sim = 0.4357): about, people, thousand
Objects (sim = 0.5194): pound, little

# Cluster 343

Predicates: fit, handle
Subjects (sim = 0.6869): most, history
Objects (sim = 0.7012): size, design, style

# Cluster 341

Predicates: roll, pan
Subjects (sim = 0.4629): about, people, thousand
Objects (sim = 0.5461): all, out

# Cluster 346

Predicates: spell, stay
Subjects (sim = 0.4028): speaker, guest
Objects (sim = 0.6774): street, house

# Cluster 351

Predicates: reproduce, produce
Subjects (sim = 0.4940): replica, visitor
Objects (sim = 0.4922): management, design

# Cluster 347

Predicates: die, fight
Subjects (sim = 0.4231): about, people, thousand
Objects (sim = 0.6194): cold, hard

# Cluster 333

Predicates: locate, acquire
Subjects (sim = 0.5282): about, people, thousand
Objects (sim = 0.3163): malnutrition, autism, child

# Cluster 324

Predicates: torture, denounce
Subjects (sim = 0.5329): man, player
Objects (sim = 0.4356): activity, violence

# Cluster 317

Predicates: instruct, observe
Subjects (sim = 0.3080): about, people, thousand
Objects (sim = 0.3242): change, alteration

# Cluster 354

Predicates: console, berate
Subjects (sim = 0.4559): about, people, thousand
Objects (sim = 0.7155): other, present

# Cluster 350

Predicates: stop, block
Subjects (sim = 0.5364): about, people, thousand
Objects (sim = 0.3283): treatment, training

# Cluster 348

Predicates: feed, keep
Subjects (sim = 0.5564): milk, baby
Objects (sim = 0.4210): hundred, people

# Cluster 356

Predicates: contradict, irk
Subjects (sim = 0.3956): report, source
Objects (sim = 0.5923): hundred, people

# Cluster 338

Predicates: fulfill, execute
Subjects (sim = 0.3574): about, people, thousand
Objects (sim = 0.5818): term, plan

# Cluster 342

Predicates: flash, punch
Subjects (sim = 0.5275): man, player
Objects (sim = 0.3882): green, light, energy

# Cluster 353

Predicates: swarm, chase
Subjects (sim = 0.6803): police, hospital
Objects (sim = 0.4547): area, field

# Cluster 312

Predicates: approve, condemn
Subjects (sim = 0.4378): ticket, voter
Objects (sim = 0.4463): activity, violence

# Cluster 358

Predicates: explode, blast
Subjects (sim = 0.6924): critic, piece
Objects (sim = 0.3164): film, scene

# Cluster 320

Predicates: show, mock
Subjects (sim = 0.4950): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6210): evidence, resistance

# Cluster 316

Predicates: instruct, hand
Subjects (sim = 0.4394): about, people, thousand
Objects (sim = 0.3042): mum, leaflet

# Cluster 367

Predicates: sail, swell
Subjects (sim = 0.4943): number, record, attendance
Objects (sim = 0.6146): telescope, boat

# Cluster 331

Predicates: fail, instruct
Subjects (sim = 0.3363): schoolteacher, teacher, schoolmaster, nurse, language, employee, tutor
Objects (sim = 0.3771): student, participant

# Cluster 360

Predicates: console, sound
Subjects (sim = 0.6629): trumpet, bark, sound, whistle, wind
Objects (sim = 0.6262): phone, alarm

# Cluster 368

Predicates: calm, exude
Subjects (sim = 0.3457): other, hand
Objects (sim = 0.5903): poison, nerve

# Cluster 322

Predicates: take, begin
Subjects (sim = 0.4041): about, people, thousand
Objects (sim = 0.3967): other, present

# Cluster 369

Predicates: pin, match
Subjects (sim = 0.5557): Broad, building
Objects (sim = 0.5214): term, supply

# Cluster 365

Predicates: chair, applaud
Subjects (sim = 0.5422): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.5022): committee, Government, council, House, Team, Committee, Council, Court

# Cluster 359

Predicates: die, live
Subjects (sim = 0.4522): about, people, thousand
Objects (sim = 0.4514): area, country, forest, capital, town, slum, city, housing, wife, church, City, community, house, home, ghost, council, street, property, farm, land, state, family, village, resident

# Cluster 371

Predicates: strip, club
Subjects (sim = 0.4643): soldier, man
Objects (sim = 0.5368): other, present

# Cluster 374

Predicates: soothe, reinforce
Subjects (sim = 0.4595): evidence, motivation
Objects (sim = 0.5138): poison, nerve

# Cluster 330

Predicates: cost, design
Subjects (sim = 0.3447): testing, manufacturer
Objects (sim = 0.3692): amount, detail, much

# Cluster 372

Predicates: bear, euthanize
Subjects (sim = 0.4441): about, people, thousand
Objects (sim = 0.2987): body, arm

# Cluster 381

Predicates: explode, empty
Subjects (sim = 0.4762): number, record, attendance
Objects (sim = 0.5059): bank, Express

# Cluster 352

Predicates: reward, praise
Subjects (sim = 0.4163): about, people, thousand
Objects (sim = 0.3572): plot, film

# Cluster 378

Predicates: abandon, stick
Subjects (sim = 0.5013): about, people, thousand
Objects (sim = 0.6071): all, out

# Cluster 373

Predicates: classify, count
Subjects (sim = 0.4044): audience, public, everyone, community, people, population
Objects (sim = 0.6325): hundred, people

# Cluster 385

Predicates: discontinue, eliminate
Subjects (sim = 0.4827): about, people, thousand
Objects (sim = 0.4527): treatment, training

# Cluster 355

Predicates: measure, pass
Subjects (sim = 0.4926): student, body
Objects (sim = 0.3663): note, material, evidence, document, letter, copy

# Cluster 377

Predicates: exude, comfort
Subjects (sim = 0.3239): servant, woman, person, possessor
Objects (sim = 0.5664): other, present

# Cluster 366

Predicates: head, chair
Subjects (sim = 0.4792): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.4867): committee, agency, organization, group

# Cluster 390

Predicates: rock, sing
Subjects (sim = 0.5429): most, history
Objects (sim = 0.5093): world, today

# Cluster 362

Predicates: solve, understand
Subjects (sim = 0.3972): about, people, thousand
Objects (sim = 0.4727): other, present

# Cluster 388

Predicates: euthanize, board
Subjects (sim = 0.6788): doctor, agent
Objects (sim = 0.4101): bus, ticket

# Cluster 361

Predicates: keep, check
Subjects (sim = 0.6325): police, hospital
Objects (sim = 0.4158): database, computer

# Cluster 395

Predicates: cast, sing
Subjects (sim = 0.5139): art, piece
Objects (sim = 0.3943): loud, chant, louder, crowd

# Cluster 340

Predicates: steal, throw
Subjects (sim = 0.3238): detective, police, thief, robber, dealer, crime, traffic
Objects (sim = 0.3357): revenue, money, fund, dollar

# Cluster 357

Predicates: hand, hold
Subjects (sim = 0.4638): about, people, thousand
Objects (sim = 0.5743): view, hope, belief

# Cluster 397

Predicates: despise, struggle
Subjects (sim = 0.4977): about, people, thousand
Objects (sim = 0.4415): other, present

# Cluster 394

Predicates: chirp, hatch
Subjects (sim = 0.5106): man, player
Objects (sim = 0.5830): plot, film

# Cluster 364

Predicates: carry, check
Subjects (sim = 0.5582): police, hospital
Objects (sim = 0.3553): database, computer

# Cluster 302

Predicates: hit, drive
Subjects (sim = 0.4361): about, people, thousand
Objects (sim = 0.3360): hundred, people

# Cluster 233

Predicates: confirm, reveal, tell
Subjects (sim = 0.3480): about, people, thousand
Objects (sim = 0.4955): officer, official

# Cluster 398

Predicates: weigh, pin
Subjects (sim = 0.5370): scale, step
Objects (sim = 0.4986): light, traffic

# Cluster 391

Predicates: fail, abandon
Subjects (sim = 0.5481): about, people, thousand
Objects (sim = 0.4651): campaign, effort, bid

# Cluster 401

Predicates: rank, categorize
Subjects (sim = 0.4920): about, people, thousand
Objects (sim = 0.6325): school, church

# Cluster 400

Predicates: embezzle, deceive
Subjects (sim = 0.6143): officer, employee
Objects (sim = 0.6007): revenue, money, fund, dollar

# Cluster 349

Predicates: ask, rule
Subjects (sim = 0.4027): leader, winner
Objects (sim = 0.3989): hundred, people

# Cluster 335

Predicates: act, do
Subjects (sim = 0.3247): about, people, thousand
Objects (sim = 0.3248): everybody, be, anybody, none, good, ourselves, Nothing, anything, either, tear, course, hard, NOTHING, nobody, everything, so, goodness, all, figure, homework, everyone, nothing, people, worse, way, ANYTHING, anyone, know, thing, much, little

# Cluster 396

Predicates: hail, hear
Subjects (sim = 0.4444): voice, music, trumpet, sound
Objects (sim = 0.6071): hundred, people

# Cluster 376

Predicates: assess, understand
Subjects (sim = 0.4402): about, people, thousand
Objects (sim = 0.5334): other, present

# Cluster 323

Predicates: see, observe
Subjects (sim = 0.4076): about, people, thousand
Objects (sim = 0.4940): hundred, people

# Cluster 406

Predicates: console, pedal
Subjects (sim = 0.5008): about, people, thousand
Objects (sim = 0.6391): other, present

# Cluster 407

Predicates: beg, aid
Subjects (sim = 0.4624): ship, company
Objects (sim = 0.5055): doctor, telephone

# Cluster 411

Predicates: stir, swell
Subjects (sim = 0.5283): number, record, attendance
Objects (sim = 0.5340): hundred, people

# Cluster 402

Predicates: volunteer, thank
Subjects (sim = 0.5258): about, people, thousand
Objects (sim = 0.4805): truth, goodness

# Cluster 393

Predicates: fit, design
Subjects (sim = 0.3835): testing, manufacturer
Objects (sim = 0.5050): application, project, grant

# Cluster 392

Predicates: handle, hand
Subjects (sim = 0.4673): about, people, thousand
Objects (sim = 0.3834): mum, leaflet

# Cluster 290

Predicates: place, make
Subjects (sim = 0.3648): about, people, thousand
Objects (sim = 0.3775): back, home

# Cluster 403

Predicates: misappropriate, protect
Subjects (sim = 0.8115): protection, Protection, safeguard
Objects (sim = 0.4330): hundred, people

# Cluster 415

Predicates: apply, discharge
Subjects (sim = 0.8700): ship, company
Objects (sim = 0.5392): water, energy

# Cluster 389

Predicates: steal, swipe
Subjects (sim = 0.3338): detective, police, thief, robber, dealer, crime, traffic
Objects (sim = 0.3779): revenue, money, fund, dollar

# Cluster 387

Predicates: recognize, observe
Subjects (sim = 0.4079): about, people, thousand
Objects (sim = 0.4793): problem, phenomenon, thing

# Cluster 405

Predicates: protect, fight
Subjects (sim = 0.7088): protection, Protection, safeguard
Objects (sim = 0.4445): cold, hard

# Cluster 344

Predicates: follow, observe
Subjects (sim = 0.2935): study, excavation
Objects (sim = 0.5020): activity, trend, pattern, example

# Cluster 417

Predicates: hail, flood
Subjects (sim = 0.3823): critic, piece
Objects (sim = 0.6088): back, home

# Cluster 380

Predicates: conduct, govern
Subjects (sim = 0.4342): Group, team, group
Objects (sim = 0.3790): genetics, research

# Cluster 412

Predicates: turn, flow
Subjects (sim = 0.3291): hair, everything
Objects (sim = 0.3849): future, key

# Cluster 419

Predicates: disappoint, surpass
Subjects (sim = 0.3881): release, film
Objects (sim = 0.3779): other, present

# Cluster 382

Predicates: cite, lack
Subjects (sim = 0.3028): officer, employee
Objects (sim = 0.5888): reason, evidence

# Cluster 423

Predicates: cross, paddle
Subjects (sim = 0.3320): about, people, thousand
Objects (sim = 0.6107): yacht, canoe, boat

# Cluster 425

Predicates: batter, faze
Subjects (sim = 0.5742): soldier, man
Objects (sim = 0.3780): pound, kid

# Cluster 363

Predicates: appreciate, notice
Subjects (sim = 0.4542): about, people, thousand
Objects (sim = 0.3333): literature, art

# Cluster 414

Predicates: consider, begin
Subjects (sim = 0.4507): about, people, thousand
Objects (sim = 0.3996): hundred, people

# Cluster 375

Predicates: accuse, embezzle
Subjects (sim = 0.3283): about, people, thousand
Objects (sim = 0.3853): government, machinery

# Cluster 409

Predicates: handle, execute
Subjects (sim = 0.3414): ship, company
Objects (sim = 0.5912): term, plan

# Cluster 404

Predicates: cover, protect
Subjects (sim = 0.6408): protection, Protection, safeguard
Objects (sim = 0.5368): all, out

# Cluster 293

Predicates: cover, make
Subjects (sim = 0.3582): about, people, thousand
Objects (sim = 0.3710): back, home

# Cluster 384

Predicates: get, suck
Subjects (sim = 0.4155): about, people, thousand
Objects (sim = 0.8049): back, home

# Cluster 413

Predicates: throw, jump
Subjects (sim = 0.3313): number, record, attendance
Objects (sim = 0.4581): most, more, less, so, much, little

# Cluster 334

Predicates: run, blast
Subjects (sim = 0.3715): government, minister, Government, authority, Minister
Objects (sim = 0.5198): experiment, show

# Cluster 427

Predicates: border, stop
Subjects (sim = 0.5374): about, people, thousand
Objects (sim = 0.3247): treatment, training

# Cluster 435

Predicates: torch, pan
Subjects (sim = 0.5310): replica, demonstrator
Objects (sim = 0.5472): gold, green

# Cluster 429

Predicates: bash, cheer
Subjects (sim = 0.4763): about, people, thousand
Objects (sim = 0.5114): other, present

# Cluster 379

Predicates: contribute, cause
Subjects (sim = 0.3475): audience, public, everyone, community, people, population
Objects (sim = 0.3943): distress, damage

# Cluster 432

Predicates: despise, hail
Subjects (sim = 0.3969): critic, piece
Objects (sim = 0.3771): driver, man, worker, resident

# Cluster 420

Predicates: act, wreak
Subjects (sim = 0.4079): about, people, thousand
Objects (sim = 0.2894): damage, crisis, misfortune, starvation, calamity, tragedy, attack, havoc, catastrophe, mishap, situation, destruction, violence

# Cluster 424

Predicates: dislike, irritate
Subjects (sim = 0.5312): about, people, thousand
Objects (sim = 0.4172): other, present

# Cluster 439

Predicates: exude, demonstrate
Subjects (sim = 0.3956): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.5353): evidence, resistance

# Cluster 438

Predicates: clash, fight
Subjects (sim = 0.4657): militant, group
Objects (sim = 0.5926): cold, hard

# Cluster 408

Predicates: help, encourage
Subjects (sim = 0.4428): about, people, thousand
Objects (sim = 0.4369): hundred, people

# Cluster 450

Predicates: load, torch
Subjects (sim = 0.5637): replica, demonstrator
Objects (sim = 0.4677): vehicle, object

# Cluster 436

Predicates: chair, sit
Subjects (sim = 0.5341): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.4954): committee, Government, council, House, Team, Committee, Council, Court

# Cluster 416

Predicates: engage, educate
Subjects (sim = 0.4587): student, body
Objects (sim = 0.4125): student, participant

# Cluster 433

Predicates: pull, sell
Subjects (sim = 0.4494): about, people, thousand
Objects (sim = 0.4165): all, out

# Cluster 446

Predicates: apply, govern
Subjects (sim = 0.4744): bishop, mayor, sultan, governor
Objects (sim = 0.5470): hundred, people

# Cluster 431

Predicates: disappoint, beat
Subjects (sim = 0.4669): soldier, man
Objects (sim = 0.3242): hundred, people

# Cluster 399

Predicates: work, perform
Subjects (sim = 0.3145): militant, group
Objects (sim = 0.5379): move, act, action, step

# Cluster 452

Predicates: formulate, gather
Subjects (sim = 0.4770): about, people, thousand
Objects (sim = 0.6196): term, plan

# Cluster 456

Predicates: usher, end
Subjects (sim = 0.5059): guard, shot
Objects (sim = 0.5198): today, day

# Cluster 434

Predicates: console, command
Subjects (sim = 0.5149): General, hospital
Objects (sim = 0.6315): army, slum

# Cluster 444

Predicates: measure, act
Subjects (sim = 0.4623): about, people, thousand
Objects (sim = 0.2623): louder, more, less, worse, closer

# Cluster 455

Predicates: usher, chair
Subjects (sim = 0.5730): Leader, director, Director, official, shareholder, chairman, Chairman, delegate, President, general, organizer, leadership, representative, president
Objects (sim = 0.5044): committee, Government, council, House, Team, Committee, Council, Court

# Cluster 383

Predicates: break, lead
Subjects (sim = 0.4315): principal, boss, commander, chief, officer, chairman, president
Objects (sim = 0.4499): defense, team

# Cluster 426

Predicates: treat, eat
Subjects (sim = 0.4902): audience, public, everyone, community, people, population
Objects (sim = 0.5393): hundred, people

# Cluster 441

Predicates: pass, stick
Subjects (sim = 0.4582): student, body
Objects (sim = 0.5187): all, out

# Cluster 418

Predicates: buy, eat
Subjects (sim = 0.4106): about, people, thousand
Objects (sim = 0.3382): ticket, book

# Cluster 442

Predicates: expect, end
Subjects (sim = 0.4778): ship, company
Objects (sim = 0.4550): guy, job, thing

# Cluster 428

Predicates: treat, care
Subjects (sim = 0.4682): audience, public, everyone, community, people, population
Objects (sim = 0.5491): hundred, people

# Cluster 460

Predicates: date, track
Subjects (sim = 0.3965): door, woman, vet, mum, boyfriend, wife, father, husband, body, neighbor, house, life, mother, himself, caller, marriage, friend, man, family, twin, resident
Objects (sim = 0.5381): handbag, woman

# Cluster 447

Predicates: spot, nab
Subjects (sim = 0.2918): about, people, thousand
Objects (sim = 0.4658): problem, phenomenon, thing

# Cluster 462

Predicates: outstrip, supply
Subjects (sim = 0.5347): supplier, plant, Supply, supply, demand
Objects (sim = 0.6218): generation, demand

# Cluster 459

Predicates: interest, rate
Subjects (sim = 0.4794): student, body
Objects (sim = 0.5387): performance, sound

# Cluster 472

Predicates: trouble, struggle
Subjects (sim = 0.5273): fact, nobody
Objects (sim = 0.4956): himself, briefly

# Cluster 466

Predicates: weigh, light
Subjects (sim = 0.5165): scale, step
Objects (sim = 1.0000): light, torch

# Cluster 458

Predicates: torture, detain
Subjects (sim = 0.6011): man, player
Objects (sim = 0.4071): plot, suspect

# Cluster 443

Predicates: instruct, teach
Subjects (sim = 0.3639): schoolteacher, teacher, schoolmaster, nurse, language, employee, tutor
Objects (sim = 0.5424): student, participant

# Cluster 470

Predicates: eliminate, avoid
Subjects (sim = 0.4508): about, people, thousand
Objects (sim = 0.6173): hundred, people

# Cluster 467

Predicates: weigh, cast
Subjects (sim = 0.5165): scale, step
Objects (sim = 0.5143): light, traffic

# Cluster 410

Predicates: worry, blame
Subjects (sim = 0.4067): about, people, thousand
Objects (sim = 0.3079): hundred, people

# Cluster 448

Predicates: advise, caution
Subjects (sim = 0.5334): police, hospital
Objects (sim = 0.4501): officer, official

# Cluster 463

Predicates: annoy, chirp
Subjects (sim = 0.3033): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.5383): hundred, people

# Cluster 437

Predicates: rock, show
Subjects (sim = 0.5078): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6256): evidence, resistance

# Cluster 445

Predicates: spot, draw
Subjects (sim = 0.3817): about, people, thousand
Objects (sim = 0.4686): hundred, people

# Cluster 474

Predicates: weigh, eat
Subjects (sim = 0.5299): scale, step
Objects (sim = 0.4936): light, traffic

# Cluster 478

Predicates: spell, frustrate
Subjects (sim = 0.4483): speaker, guest
Objects (sim = 0.4667): hundred, people

# Cluster 451

Predicates: value, gain
Subjects (sim = 0.5018): society, community
Objects (sim = 0.5085): education, aid

# Cluster 454

Predicates: console, design
Subjects (sim = 0.4072): about, people, thousand
Objects (sim = 0.4806): application, project, grant

# Cluster 465

Predicates: detain, investigate
Subjects (sim = 0.6466): police, hospital
Objects (sim = 0.4230): area, field

# Cluster 479

Predicates: console, comfort
Subjects (sim = 0.3531): mine, friend
Objects (sim = 0.7072): other, present

# Cluster 430

Predicates: abandon, own
Subjects (sim = 0.3914): family, dinner, house
Objects (sim = 0.5516): jewel, property, land, asset

# Cluster 487

Predicates: place, care
Subjects (sim = 0.2938): NOBODY, anyone, EVERYBODY, er, EVERYONE
Objects (sim = 0.5500): hundred, people

# Cluster 421

Predicates: pursue, follow
Subjects (sim = 0.3233): study, excavation
Objects (sim = 0.5164): activity, trend, pattern, example

# Cluster 422

Predicates: accuse, charge
Subjects (sim = 0.3113): about, people, thousand
Objects (sim = 0.3289): government, machinery

# Cluster 370

Predicates: assure, make
Subjects (sim = 0.3647): about, people, thousand
Objects (sim = 0.3835): back, home

# Cluster 453

Predicates: perform, execute
Subjects (sim = 0.3357): militant, group
Objects (sim = 0.6061): move, act, action, step

# Cluster 489

Predicates: request, aid
Subjects (sim = 0.5230): Department, Society
Objects (sim = 0.6828): police, court

# Cluster 481

Predicates: arrive, hail
Subjects (sim = 0.4404): other, hand
Objects (sim = 0.7161): back, home

# Cluster 486

Predicates: flood, blast
Subjects (sim = 0.6665): critic, piece
Objects (sim = 0.5703): back, home

# Cluster 485

Predicates: arrive, visit
Subjects (sim = 0.3793): other, hand
Objects (sim = 0.7239): back, home

# Cluster 440

Predicates: study, work
Subjects (sim = 0.5023): student, body
Objects (sim = 0.4588): with, way

# Cluster 488

Predicates: batter, count
Subjects (sim = 0.4735): soldier, man
Objects (sim = 0.6149): hundred, people

# Cluster 457

Predicates: strike, force
Subjects (sim = 0.5003): soldier, man
Objects (sim = 0.4998): hundred, people

# Cluster 495

Predicates: dump, empty
Subjects (sim = 0.5099): principal, parent, teacher, Parent, child
Objects (sim = 0.4304): bank, Express

# Cluster 386

Predicates: be, have
Subjects (sim = 0.3610): country, society, government, public, regime, state
Objects (sim = 0.3074): possession, home

# Cluster 492

Predicates: shame, esteem
Subjects (sim = 0.3362): man, player
Objects (sim = 0.3879): other, present

# Cluster 461

Predicates: inhabit, encounter
Subjects (sim = 0.5149): about, people, thousand
Objects (sim = 0.6134): problem, phenomenon, thing

# Cluster 468

Predicates: help, identify
Subjects (sim = 0.4412): about, people, thousand
Objects (sim = 0.3742): hundred, people

# Cluster 501

Predicates: generate, flow
Subjects (sim = 0.5104): through, round
Objects (sim = 0.4940): stream, source

# Cluster 449

Predicates: own, berate
Subjects (sim = 0.3920): family, dinner, house
Objects (sim = 0.5521): jewel, property, land, asset

# Cluster 464

Predicates: contribute, donate
Subjects (sim = 0.4573): audience, public, everyone, community, people, population
Objects (sim = 0.6935): revenue, money, fund, dollar

# Cluster 502

Predicates: row, sit
Subjects (sim = 0.5239): about, people, thousand
Objects (sim = 0.6181): seat, ticket

# Cluster 498

Predicates: file, discharge
Subjects (sim = 0.7115): ship, company
Objects (sim = 0.4969): water, energy

# Cluster 476

Predicates: cover, reveal
Subjects (sim = 0.5357): hair, everything
Objects (sim = 0.5731): evidence, resistance

# Cluster 469

Predicates: employ, work
Subjects (sim = 0.4015): most, history
Objects (sim = 0.4317): with, way

# Cluster 499

Predicates: fulfill, support
Subjects (sim = 0.3825): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6689): evidence, resistance

# Cluster 504

Predicates: concoct, misappropriate
Subjects (sim = 0.5430): soldier, man
Objects (sim = 0.6283): scheme, Government

# Cluster 477

Predicates: swarm, scare
Subjects (sim = 0.3234): fact, so, thing
Objects (sim = 0.4495): hundred, people

# Cluster 497

Predicates: look, shine
Subjects (sim = 0.4318): volume, light, traffic
Objects (sim = 0.4751): eye, with, horizon, face, shadow, light

# Cluster 510

Predicates: book, fascinate
Subjects (sim = 0.6059): police, officer, guard
Objects (sim = 0.4554): driver, man, worker, resident

# Cluster 480

Predicates: perceive, become
Subjects (sim = 0.5327): about, people, thousand
Objects (sim = 0.3897): problem, phenomenon, thing

# Cluster 512

Predicates: console, load
Subjects (sim = 0.3681): mine, friend
Objects (sim = 0.6788): other, present

# Cluster 513

Predicates: abandon, relinquish
Subjects (sim = 0.4999): about, people, thousand
Objects (sim = 0.4576): treatment, training

# Cluster 508

Predicates: reproduce, copy
Subjects (sim = 0.8227): Copy, COPY, copy, click
Objects (sim = 0.5979): file, object

# Cluster 511

Predicates: hatch, devise
Subjects (sim = 0.4451): man, player
Objects (sim = 0.5967): system, experiment, scheme, plot, service, project, operation, plan

# Cluster 503

Predicates: commend, consider
Subjects (sim = 0.4916): about, people, thousand
Objects (sim = 0.4631): hundred, people

# Cluster 507

Predicates: knock, block
Subjects (sim = 0.6026): man, player
Objects (sim = 0.3306): all, out

# Cluster 482

Predicates: enjoy, live
Subjects (sim = 0.4410): about, people, thousand
Objects (sim = 0.3225): most, world, major, history

# Cluster 518

Predicates: feed, load
Subjects (sim = 0.5903): milk, baby
Objects (sim = 0.4934): hundred, people

# Cluster 516

Predicates: act, stand
Subjects (sim = 0.5075): about, people, thousand
Objects (sim = 0.3682): hundred, people

# Cluster 500

Predicates: confuse, distinguish
Subjects (sim = 0.4610): about, people, thousand
Objects (sim = 0.4708): hundred, people

# Cluster 471

Predicates: engage, enter
Subjects (sim = 0.3807): about, people, thousand
Objects (sim = 0.5326): back, home

# Cluster 524

Predicates: strip, drag
Subjects (sim = 0.3324): about, people, thousand
Objects (sim = 0.4415): other, present

# Cluster 483

Predicates: move, push
Subjects (sim = 0.3992): price, rating
Objects (sim = 0.5678): hundred, people

# Cluster 493

Predicates: ransack, strike
Subjects (sim = 0.6413): soldier, man
Objects (sim = 0.2814): person, reader

# Cluster 484

Predicates: file, cite
Subjects (sim = 0.3367): officer, employee
Objects (sim = 0.6248): reason, evidence

# Cluster 526

Predicates: spook, drag
Subjects (sim = 0.4589): failure, example
Objects (sim = 0.3812): all, out

# Cluster 490

Predicates: shame, condemn
Subjects (sim = 0.3384): about, people, thousand
Objects (sim = 0.5080): activity, violence

# Cluster 475

Predicates: attack, clash
Subjects (sim = 0.3847): man, player
Objects (sim = 0.4446): hundred, people

# Cluster 529

Predicates: sacrifice, surrender
Subjects (sim = 0.4470): soldier, politician
Objects (sim = 0.5337): kidney, blood

# Cluster 534

Predicates: handle, avoid
Subjects (sim = 0.4705): fact, so, thing
Objects (sim = 0.6538): hundred, people

# Cluster 520

Predicates: feed, aid
Subjects (sim = 0.5850): milk, baby
Objects (sim = 0.5062): hundred, people

# Cluster 506

Predicates: employ, occupy
Subjects (sim = 0.5053): about, people, thousand
Objects (sim = 0.4918): hundred, people

# Cluster 514

Predicates: include, vary
Subjects (sim = 0.5411): result, proof
Objects (sim = 0.4795): most, more, less, so, much, little

# Cluster 491

Predicates: conduct, discipline
Subjects (sim = 0.4392): Group, team, group
Objects (sim = 0.3825): genetics, research

# Cluster 531

Predicates: console, immerse
Subjects (sim = 0.3610): ticket, book
Objects (sim = 0.6829): other, present

# Cluster 517

Predicates: usher, enter
Subjects (sim = 0.2037): mood, evening
Objects (sim = 0.7154): back, home

# Cluster 519

Predicates: feed, live
Subjects (sim = 0.4216): family, dinner, house
Objects (sim = 0.4269): area, country, forest, capital, town, slum, city, housing, wife, church, City, community, house, home, ghost, council, street, property, farm, land, state, family, village, resident

# Cluster 522

Predicates: monitor, track
Subjects (sim = 0.6309): police, hospital
Objects (sim = 0.5445): area, field

# Cluster 530

Predicates: console, hatch
Subjects (sim = 0.4268): man, player
Objects (sim = 0.4725): plot, film

# Cluster 547

Predicates: replace, board
Subjects (sim = 0.4852): name, list
Objects (sim = 0.5695): bus, ticket

# Cluster 548

Predicates: border, strip
Subjects (sim = 0.3408): woman, Woman, girl, feminist
Objects (sim = 0.5120): other, present

# Cluster 540

Predicates: die, mourn
Subjects (sim = 0.5008): about, people, thousand
Objects (sim = 0.3510): starvation, cold

# Cluster 532

Predicates: concoct, mock
Subjects (sim = 0.5287): soldier, man
Objects (sim = 0.5634): scheme, Government

# Cluster 528

Predicates: submit, register
Subjects (sim = 0.4894): about, people, thousand
Objects (sim = 0.3912): price, bid

# Cluster 525

Predicates: provide, lack
Subjects (sim = 0.4871): school, year
Objects (sim = 0.5470): generation, power

# Cluster 549

Predicates: cast, sail
Subjects (sim = 0.3528): art, piece
Objects (sim = 0.6480): telescope, boat

# Cluster 515

Predicates: pursue, work
Subjects (sim = 0.3651): most, history
Objects (sim = 0.5371): with, way

# Cluster 536

Predicates: waste, shame
Subjects (sim = 0.3292): about, people, thousand
Objects (sim = 0.6336): Life, life

# Cluster 550

Predicates: spell, form
Subjects (sim = 0.5071): speaker, guest
Objects (sim = 0.4252): government, machinery

# Cluster 555

Predicates: file, categorize
Subjects (sim = 0.6580): complaint, report
Objects (sim = 0.4226): other, present

# Cluster 539

Predicates: border, detect
Subjects (sim = 0.4023): scientist, alien
Objects (sim = 0.4909): change, alteration

# Cluster 523

Predicates: fly, strike
Subjects (sim = 0.5406): soldier, man
Objects (sim = 0.2946): person, reader

# Cluster 542

Predicates: satisfy, supply
Subjects (sim = 0.2077): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4098): fan, ticket

# Cluster 505

Predicates: donate, register
Subjects (sim = 0.4787): about, people, thousand
Objects (sim = 0.6483): revenue, money, fund, dollar

# Cluster 552

Predicates: assure, demonstrate
Subjects (sim = 0.4458): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6496): evidence, resistance

# Cluster 541

Predicates: desire, lack
Subjects (sim = 0.4932): school, year
Objects (sim = 0.6186): generation, power

# Cluster 544

Predicates: govern, rule
Subjects (sim = 0.3859): reform, conservative, government, minister, bishop, mayor, politician, Republican, governor, prosecutor
Objects (sim = 0.5024): hundred, people

# Cluster 566

Predicates: calm, disturb
Subjects (sim = 0.3790): about, people, thousand
Objects (sim = 0.6540): poison, nerve

# Cluster 554

Predicates: distinguish, attract
Subjects (sim = 0.3525): ticket, book
Objects (sim = 0.5754): hundred, people

# Cluster 565

Predicates: lift, breathe
Subjects (sim = 0.5196): about, people, thousand
Objects (sim = 0.5338): breath, sigh, fresh, smell

# Cluster 535

Predicates: entertain, enjoy
Subjects (sim = 0.4092): about, people, thousand
Objects (sim = 0.3095): most, world, major, history

# Cluster 569

Predicates: belong, despise
Subjects (sim = 0.3629): church, community
Objects (sim = 0.5368): other, present

# Cluster 563

Predicates: fluctuate, flow
Subjects (sim = 0.7188): price, temperature, supply
Objects (sim = 0.5610): most, more, less, so, much, little

# Cluster 560

Predicates: protect, educate
Subjects (sim = 0.5356): protection, Protection, safeguard
Objects (sim = 0.4656): hundred, people

# Cluster 556

Predicates: confuse, avoid
Subjects (sim = 0.4667): about, people, thousand
Objects (sim = 0.5743): hundred, people

# Cluster 567

Predicates: impress, spell
Subjects (sim = 0.2690): ALL, everybody, anybody, sound, kid, another, ourselves, anything, hard, proof, nobody, everything, situation, hand, all, think, everyone, more, nothing, People, say, Everybody, great, people, Him, er, himself, circumstance, anyone, person, wall, thing, twist, much, little
Objects (sim = 0.4864): mine, friend

# Cluster 538

Predicates: slam, push
Subjects (sim = 0.3900): critic, piece
Objects (sim = 0.6097): hundred, people

# Cluster 537

Predicates: anticipate, execute
Subjects (sim = 0.5774): ship, company
Objects (sim = 0.5477): term, plan

# Cluster 562

Predicates: anticipate, describe
Subjects (sim = 0.6431): ship, company
Objects (sim = 0.5102): risk, expense, option

# Cluster 564

Predicates: frustrate, induce
Subjects (sim = 0.4580): animal, drug
Objects (sim = 0.5341): change, alteration

# Cluster 509

Predicates: rock, hit
Subjects (sim = 0.4175): man, player
Objects (sim = 0.5003): back, home

# Cluster 494

Predicates: stick, follow
Subjects (sim = 0.3305): study, excavation
Objects (sim = 0.5149): activity, trend, pattern, example

# Cluster 561

Predicates: plead, speak
Subjects (sim = 0.3380): about, people, thousand
Objects (sim = 0.5866): pound, little

# Cluster 558

Predicates: fall, bear
Subjects (sim = 0.3998): price, rating
Objects (sim = 0.6350): most, more, less, so, much, little

# Cluster 553

Predicates: snatch, draw
Subjects (sim = 0.2714): about, people, thousand
Objects (sim = 0.5294): hundred, people

# Cluster 570

Predicates: host, begin
Subjects (sim = 0.4980): tourist, festival
Objects (sim = 0.4697): celebration, effort

# Cluster 575

Predicates: esteem, rank
Subjects (sim = 0.4235): student, body
Objects (sim = 0.6430): school, church

# Cluster 587

Predicates: rock, dig
Subjects (sim = 0.5335): most, history
Objects (sim = 0.5178): world, today

# Cluster 588

Predicates: sacrifice, struggle
Subjects (sim = 0.5481): about, people, thousand
Objects (sim = 0.5337): kidney, blood

# Cluster 546

Predicates: support, push
Subjects (sim = 0.2935): about, people, thousand
Objects (sim = 0.5468): hundred, people

# Cluster 585

Predicates: fit, compliment
Subjects (sim = 0.6706): most, history
Objects (sim = 0.6911): size, design, style

# Cluster 551

Predicates: explore, illuminate
Subjects (sim = 0.7280): light, glow, flash
Objects (sim = 0.4634): horizon, face, smile

# Cluster 533

Predicates: conduct, discharge
Subjects (sim = 0.4269): Group, team, group
Objects (sim = 0.3808): genetics, research

# Cluster 559

Predicates: report, investigate
Subjects (sim = 0.5868): police, hospital
Objects (sim = 0.3812): area, field

# Cluster 586

Predicates: stir, pan
Subjects (sim = 0.3115): about, people, thousand
Objects (sim = 0.5758): hundred, people

# Cluster 527

Predicates: separate, own
Subjects (sim = 0.3920): family, dinner, house
Objects (sim = 0.5521): jewel, property, land, asset

# Cluster 543

Predicates: count, predict
Subjects (sim = 0.4440): expert, protection
Objects (sim = 0.4536): horizon, view, be, future, present, outcome

# Cluster 581

Predicates: stand, fight
Subjects (sim = 0.4269): militant, group
Objects (sim = 0.5904): cold, hard

# Cluster 589

Predicates: waste, squander
Subjects (sim = 0.3929): about, people, thousand
Objects (sim = 0.6718): Life, life

# Cluster 579

Predicates: go, look
Subjects (sim = 0.4975): about, people, thousand
Objects (sim = 0.3388): partner, source

# Cluster 599

Predicates: cock, slaughter
Subjects (sim = 0.5080): cell, terrorist
Objects (sim = 0.4806): hundred, people

# Cluster 574

Predicates: crush, beat
Subjects (sim = 0.4827): man, player
Objects (sim = 0.3250): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 582

Predicates: console, flash
Subjects (sim = 0.5307): volume, light, traffic
Objects (sim = 0.5440): other, present

# Cluster 578

Predicates: assure, protect
Subjects (sim = 0.8103): protection, Protection, safeguard
Objects (sim = 0.4365): hundred, people

# Cluster 583

Predicates: gather, invite
Subjects (sim = 0.4588): Department, Society
Objects (sim = 0.4289): hundred, people

# Cluster 473

Predicates: have, lack
Subjects (sim = 0.3659): country, society, government, public, regime, state
Objects (sim = 0.3223): generation, power

# Cluster 577

Predicates: track, jump
Subjects (sim = 0.3738): number, record, attendance
Objects (sim = 0.5434): most, more, less, so, much, little

# Cluster 596

Predicates: pin, kick
Subjects (sim = 0.6730): soldier, man
Objects (sim = 0.3566): horse, bicycle, dog

# Cluster 597

Predicates: applaud, cheer
Subjects (sim = 0.5060): about, people, thousand
Objects (sim = 0.5581): other, present

# Cluster 592

Predicates: cast, roll
Subjects (sim = 0.3759): art, piece
Objects (sim = 0.5609): all, out

# Cluster 545

Predicates: apply, get
Subjects (sim = 0.4201): about, people, thousand
Objects (sim = 0.8055): back, home

# Cluster 576

Predicates: head, coach
Subjects (sim = 0.4530): leader, winner
Objects (sim = 0.4192): committee, agency, organization, group

# Cluster 595

Predicates: swarm, hail
Subjects (sim = 0.6191): police, hospital
Objects (sim = 0.4593): area, field

# Cluster 573

Predicates: fit, like
Subjects (sim = 0.4620): about, people, thousand
Objects (sim = 0.3129): parent, woman, miscarriage, kid, Baby, jaundice, guy, girl, abuser, boy, girlfriend, himself, baby, stranger, man, MAN, Man, adult, child

# Cluster 601

Predicates: book, talk
Subjects (sim = 0.4456): police, officer, guard
Objects (sim = 0.4414): pound, little

# Cluster 598

Predicates: pull, pin
Subjects (sim = 0.4509): about, people, thousand
Objects (sim = 0.4167): all, out

# Cluster 603

Predicates: hail, shine
Subjects (sim = 0.5099): volume, light, traffic
Objects (sim = 0.5119): eye, with, horizon, face, shadow, light

# Cluster 591

Predicates: command, whip
Subjects (sim = 0.5194): General, hospital
Objects (sim = 0.6579): army, slum

# Cluster 594

Predicates: mean, translate
Subjects (sim = 0.3514): event, attendance
Objects (sim = 0.4890): death, body

# Cluster 571

Predicates: impress, show
Subjects (sim = 0.3083): assessment, Survey, study, Report, report, rating, survey, Research, list, research
Objects (sim = 0.6031): evidence, resistance

# Cluster 521

Predicates: place, lead
Subjects (sim = 0.4315): principal, boss, commander, chief, officer, chairman, president
Objects (sim = 0.4465): defense, team

# Cluster 593

Predicates: govern, command
Subjects (sim = 0.4800): General, hospital
Objects (sim = 0.6254): army, slum

# Cluster 604

Predicates: say, hail
Subjects (sim = 0.4024): official, source
Objects (sim = 0.5394): pound, little

# Cluster 568

Predicates: hit, hurt
Subjects (sim = 0.4320): man, player
Objects (sim = 0.3480): back, home

# Cluster 580

Predicates: charge, count
Subjects (sim = 0.3687): man, player
Objects (sim = 0.3801): hundred, people

# Cluster 600

Predicates: satisfy, approve
Subjects (sim = 0.5170): ticket, voter
Objects (sim = 0.3614): school, church

# Cluster 572

Predicates: load, drive
Subjects (sim = 0.4699): about, people, thousand
Objects (sim = 0.4787): car, gas

# Cluster 590

Predicates: work, train
Subjects (sim = 0.3834): expert, protection
Objects (sim = 0.4327): with, way

# Cluster 557

Predicates: hit, reach
Subjects (sim = 0.3634): man, player
Objects (sim = 0.5413): back, home

# Cluster 496

Predicates: make, advance
Subjects (sim = 0.3647): about, people, thousand
Objects (sim = 0.3835): back, home

# Cluster 605

Predicates: ask, thank
Subjects (sim = 0.3659): leader, winner
Objects (sim = 0.2923): hundred, people

# Cluster 602

Predicates: perform, live
Subjects (sim = 0.3217): about, people, thousand
Objects (sim = 0.5705): move, act, action, step

# Cluster 584

Predicates: own, hand
Subjects (sim = 0.3689): family, dinner, house
Objects (sim = 0.5386): jewel, property, land, asset

# Cluster 606

Predicates: poison, kill
Subjects (sim = 0.3225): about, people, thousand
Objects (sim = 0.4315): hundred, people

# Cluster 607

Predicates: sweep, run
Subjects (sim = 0.3724): government, minister, Government, authority, Minister
Objects (sim = 0.5283): experiment, show